Responsibilities
About ByteDance
Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.
Why Join Us
Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible.
Together, we inspire creativity and enrich life - a mission we aim towards achieving every day.
To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.
At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve.
Join us.
About the Team
Our team plays a crucial role in ensuring the company’s success. We seek people who are willing to learn and put in the effort to solve problems. Our challenges are not your regular day-to-day problems - you’ll be part of a team that’s developing new solutions to new challenges. It’s working fast, at scale, and we’re making a difference. We are looking for talents to join us on this exciting journey!
Responsibilities
Develop and implement end-to-end machine learning models and algorithms for demand forecasting in the context of global e-commerce supply chain and logistics operations.
Collect, clean, and preprocess large-scale data sets to ensure data quality and suitability for forecasting purposes.
Collaborate with data scientists and domain experts to understand business requirements, identify key demand drivers, and incorporate relevant features into forecasting models.
Conduct exploratory data analysis to gain insights into demand patterns, trends, and seasonality factors that influence purchasing behavior.
Build scalable and efficient data pipelines to automate data preprocessing, model training, and prediction processes.
Evaluate and optimize the performance of existing time series forecasting models, and propose enhancements or alternative approaches to improve accuracy and robustness.
Collaborate with software engineers to integrate machine learning models into production systems and ensure reliable and timely delivery of forecasts.
Monitor model performance, identify anomalies, and develop proactive measures to address potential forecast errors or biases.
Stay up to date with the latest advancements in machine learning, demand forecasting techniques, and related domains, and apply this knowledge to enhance the team's capabilities.
Communicate findings, insights, and technical concepts effectively to both technical and non-technical stakeholders, fostering a collaborative and data-driven decision-making culture.
Qualifications
Must have a Master's degree in Computer Science, Engineering (any), Information Technology, Machine Learning, Data Science, Data Analytics, Statistics, Mathematics, or a related quantitative field, and 2 years of related work experience; OR a Bachelor's degree in Computer Science, Engineering (any), Information Technology, Machine Learning, Data Science, Data Analytics, Statistics, Mathematics, or a related quantitative field, and 5 years of post-bachelor's, progressive related work experience.
Of the required experience, must have 2 years of experience in each of the following:
Optimizing, training, and deploying machine learning and deep learning models with Python and mainstream machine learning framework;
Developing code and identifying issues in Linux environment;
Coding using Python or C++; and
Developing and deploying large-scale machine learning systems.
Of the required experience, must have 1 year of experience in utilizing Big data framework Spark, Hadoop, or Flink.
Travel Requirement: Domestic Travel up to 10% required.
Type: Full time, 40 hours/week
Location: San Jose, CA
Salary Range: $224000 -$410000 per year
To Apply, click the apply button below. Contact lpresumes@bytedance.com if you have difficulty submitting resume through the website.
ByteDance Inc. is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At Bytedance, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
ByteDance Inc. is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at lpresumes@bytedance.com.
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Job Information
【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $224000 - $410000 annually.
Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.
Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).
The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
For Los Angeles County (unincorporated) Candidates:
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
3. Exercising sound judgment.
